DQM Equilibrium: Striking the Right Balance Between Data Stewards and Data Automation

Posted by Abhijit Nimgaonkar on Tue, Oct 29, 2013

There’s no silver bullet for transforming data quality management (DQM) from problem into competitive advantage. But a structured approach that considers, among other things, the right combination of human judgment and automation will yield significant improvements that are sustainable over the long term.

The Data Explosion

Managing data has become a major struggle. The amount of data and number of vendors are exploding, and companies use data in complex ways in areas like advanced selling models, marketing and contracting analytics, and performance analysis.

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